A Least Square Method Based Residual Magnetic Detection Method of Transformer Core

Abstract

The invention belongs to the electric power detection technology field, to be specific, relates to a transformer core residual magnetism detection method based on a least square method. The invention discloses a transformer core residual magnetism detection determining method based on the least square method. The transformer core residual magnetism detection determining method comprises a transformer no-load current boosting initial phase current rising curve based on the least square method; a transformer no-load current boosting initial phase current falling curve based on the least square method; the expression and the calculation of the current rising curve and the current falling curve; and transformer core residual magnetism determining criteria. The transformer core residual magnetism detection method is capable of solving problems such as high requirements of transformer residual magnetism detection on on-site environment, equipment, and devices, low accuracy of detection results, and detection being carried out only in specific conditions.

Description

technical field [0001] The invention belongs to the technical field of power detection, and in particular relates to a method for detecting residual magnetism of a transformer iron core based on a least square method. Background technique [0002] Least square method: also known as the least square method, is a mathematical optimization technique. It finds the best function fit to the data by minimizing the square of the error. The unknown data can be easily obtained by using the least square method, and the sum of squares of the errors between the obtained data and the actual data can be minimized. For example, when studying the relationship between two variables (x, y), usually a series of paired data (x1, y1, x2, y2, ... , xm, ym) can be obtained, and these data are depicted in x In the -y Cartesian coordinate system, if these points are found to be near a straight line, the equation of this straight line can be set as yi=a0+a1x (a0, a1 are arbitrary real numbers), usin...

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Problems solved by technology

[0009] In order to solve the technical problem that the on-site detection of residual magnetism has high requirements on the environment, equipment and instruments, and the accuracy of the detection results is not high, the invention discloses a method for detecting the residual magnetism of transformer iron core based on the least square method

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